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For Federal Agencies and Federal Contractors, Data Security is of paramount importance especially when it comes to doing business on the cloud. Also, companies that fall in the category of highly regulated industries such as – Insurance, Financial Services, Public Sector, and Healthcare need to pay special attention to Data Security.
Our data security experts are helping some of the largest US Federal Banks to stay compliant with Federal Information Processing Standards (FIPS) while migrating legacy applications or building new Codeless Applications.
While delivering Microservices Applications, our Federal customers want us to rapidly build, design, and test new API services that help connect with legacy data sources. To fulfill Federal Data Compliance requirements, our data security specialists use SaaS products and platforms that are AICPA-certified. Essentially, these are platforms that are certified by third-party auditors to maintain security compliance with SOC 2 Type II and mandated standards like HIPAA.
These platforms that are also listed on the Federal Risk & Authorization Management Program (FedRAMP®) are once again evaluated based on the suitability based on the different regional requirements.
Solution to the above discussed problem lies in finding the best route to make use of existing process knowledge while using AI to optimize human efficiencies.
Process Optimization Consulting Practice: It helps identify the checks and balances that can be placed using a mix of human intervention and Automation tools.
Set Rules and Permissions: When integrating legacy systems with external APIs, customer integrations, or a third-party product, our expert guidance helps set access control rules and permissions.
RBAC-based swimlanes: Our data security specialists possess hands-on experience in orchestrating RBAC workflows across internal teams, clients, and service providers.
Enhanced Authentication: Our proven framework authenticates integrations through a multitude of methods while providing the means to apply TLS to further enhance security.
Applying Transport Layer Security (TLS): These encryption safeguards ensure eavesdroppers/hackers are unable to see the data that is transmitted over the internet.
Concerns of Federal CTOs: Federal Agency CTOs have voiced their concerns about the risks and losses that can occur due to data outages or data loss caused by Generative AI.
Data Poisoning: The use of AI and ML in banking transactions can go wrong when a mistaken context or understanding is fed into the system.
Chances of Bias: While AI scans millions of documents, it can also lead to forming erroneous and biased classifications that inconveniences customers.
Failed or Declined Transactions: When results delivered based on biased judgement of data, it can lead to customers getting blocked or declined services.
BFSI Case Studies: Made possible by INTELLISWAUT Test Automation Tool, Automated Refactoring, and Coding Specialists from Sun Technologies
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